Essays about: "approximering"

Showing result 1 - 5 of 11 essays containing the word approximering.

  1. 1. Approximating Damping Coefficient of Bolted Joints using the Finite Element Method

    University essay from KTH/Hållfasthetslära

    Author : Abhiroop Chatterjee; [2023]
    Keywords : ;

    Abstract : Bolted joints are important due to their energy dissipation property in structures,but the damping mechanism is also highly nonlinear and localized. The goal ofthis thesis is to develop an accurate method for modeling bolted joint dampingin large structures using finite element (FE) software. READ MORE

  3. 2. Stochastic Lateral Transshipment within the Fast Fashion Industry

    University essay from KTH/Matematik (Inst.)

    Author : Linnéa Andersson; [2022]
    Keywords : Degree Project; Fast Fashion; H M; Lateral Transshipment; Linear Optimization; Master’s Thesis; Recourse Problem; Retail; Sample Average Approximation; Stochastic Optimization; Transshipment; Two-Stage Recourse Problem; Detaljhandel; H M; Lagerflyttar; Lagerhantering; Linjär optimering; Masters Examensarbete; Mode; Optimering; Snabbt mode; Stokastisk optimering; Transportproblem;

    Abstract : In an industry with highly variable demand and a fickle customer demanding a fast changing supply, quickly responding to the customer becomes crucial for the fast fashion retailer. Using lateral transshipment, one is able to reorganize supply within an echelon of the supply chain to quickly respond to the forecasted demand by looking at shorter more accurate forecasts and act accordingly. READ MORE

  4. 3. Approximation of General Semi-Markov Models Using Expolynomials

    University essay from KTH/Matematisk statistik

    Author : Niklas Nyholm; [2021]
    Keywords : applied mathematics; Markov modelling; Semi-Markov process; approximation theory; expolynomial; phase-type distribution; reliability analysis; tillämpad matematik; Markov modellering; Semi-Markov process; approximations teori; expolynom; phase-type fördelning; riskanalys;

    Abstract : Safety analysis is critical when developing new engineering systems. Many systems have to function under randomly occurring events, making stochastic processes useful in a safety modelling context. However, a general stochastic process is very challenging to analyse mathematically. READ MORE

  5. 4. Uncertainty Estimation for Deep Learning-based LPI Radar Classification : A Comparative Study of Bayesian Neural Networks and Deep Ensembles

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Måns Ekelund; [2021]
    Keywords : LPI radar; Uncertainty Quantification; Deep Learning; Bayesian Neural Networks; Deep Ensembles; LPI radar; Osäkerhetsskattning; Djupinlärning; Bayesianska neurala nätverk; Djupa ensembler;

    Abstract : Deep Neural Networks (DNNs) have shown promising results in classifying known Low-probability-of-intercept (LPI) radar signals in noisy environments. However, regular DNNs produce low-quality confidence and uncertainty estimates, making them unreliable, which inhibit deployment in real-world settings. READ MORE

  6. 5. Neural Networks and Uncertainty Estimation for Financial Asset Predictions

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Robert Cedergren; [2020]
    Keywords : ;

    Abstract : With the capability of modeling complex non-linear mappings, neural networks have obtained state-of-the-art performance on various tasks. However, traditional neural networks are prone to overfitting as they tend to be overconfident on unseen, noisy and incorrectly labeled data. Neither do they produce meaningful representations of uncertainty. READ MORE